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Platform for training generalizable deep reinforcement learning agents
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
A curated list of awesome model based RL resources (continually updated)
Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)
DMControl Generalization Benchmark
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Offical code for Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning
Prioritized Experience Replay implementation with proportional prioritization
This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.
The repository is for safe reinforcement learning baselines.
Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
Machine Learning and Computer Vision Engineer - Technical Interview Questions
PyTorch implementation of discrete version of Soft Actor-Critic.
A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
Pytorch implementations of RL algorithms, focusing on model-based, lifelong, reset-free, and offline algorithms. Official codebase for Reset-Free Lifelong Learning with Skill-Space Planning.
Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)
Interactive roadmaps, guides and other educational content to help developers grow in their careers.